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20232026
most citedSteered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising

2 citations · 2 across the 3 of their papers we have counts for

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eess.IV2026

Edge-Aligned Initialization of Kernels for Steered Mixture-of-Experts

Martin Determann, Elvira Fleig

Steered Mixture-of-Experts (SMoE) has recently emerged as a powerful framework for spatial-domain image modeling, enabling high-fidelity image representation using a remarkably sma…

eess.IV2023★ 2 cited

Steered Mixture-of-Experts Autoencoder Design for Real-Time Image Modelling and Denoising

Elvira Fleig, Erik Bochinski, Thomas Sikora

Research in the past years introduced Steered Mixture-of-Experts (SMoE) as a framework to form sparse, edge-aware models for 2D- and higher dimensional pixel data, applicable to co…